"Data Collection and Preprocessing for Model Training with Firebase" explores the powerful data management capabilities Firebase offers to streamline and optimize the machine learning workflow, from data collection to preprocessing. Leveraging Firebase Analytics and Realtime Database, we can efficiently gather high-quality, structured data essential for robust model training. This session will walk attendees through Firebase’s tools for capturing real-time user interactions, managing data consistency, and performing preprocessing tasks directly within the Firebase ecosystem. By integrating Firebase into the data pipeline, machine learning engineers and developers can simplify data handling, reduce latency, and enhance model performance through carefully curated and preprocessed datasets.